| 红外图像非均匀性分析与校正方法研究 |
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| 引用本文： | 樊彩霞,谷小青,樊兴. 红外图像非均匀性分析与校正方法研究[J]. 微计算机应用, 2014, 0(3): 49-52 |
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| 作者姓名： | 樊彩霞 谷小青 樊兴 |
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| 作者单位： | [1]河南农业大学理学院,河南450002 [2]北方自动技术研究所,河南030006 |
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| 摘 要： | 由于材料、工艺等原因，红外焦平面阵列（IRFPA）各探测元存在响应不一致问题，导致红外图像的非均匀性。非均匀性校正（NUC）是红外成像仪图像处理系统的重要环节。本文结合空间相机的应用重点分析了基于定标的两点校正法和基于场景的自适应神经网络法，并通过仿真图像验证了神经网络算法的校正效果。
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| 关 键 词： | 红外焦平面阵列 非均匀性校正 神经网络 |
Non- uniformity Analysis and Correction for Infrared Thermal Imager |
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| Fan Caixia,Gu Xiaoqing,Fan Xing. Non- uniformity Analysis and Correction for Infrared Thermal Imager[J]. Microcomputer Applications, 2014, 0(3): 49-52 |
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| Authors: | Fan Caixia Gu Xiaoqing Fan Xing |
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| Affiliation: | 1 Henan Agricultural University, Henan, 450002, China 2North Automatic Control Technology Institute, Henan, 030006, China) |
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| Abstract: | Due to the the material and manufacturing technology of the IRFPA, every detector＇ s responsivity is different, which result in non - uniformity of IR images. Thus non - uniformity correction（NUC） is very important to the application of airborne infrared imag- ers. Based on the analysis of the application of space infrared camera, this study focus on the two - point algorithm based on calibration and the adaptive algorithm based on neural network. The algorithm of NN is tested by simulated image. |
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| Keywords: | space infrared thermal imager NUC neural network |
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